Outlines of a Pragmatic Theory of Truth and Error in Computer Simulation

Christoph Hubig () and Andreas Kaminski ()
Additional contact information
Christoph Hubig: TU Darmstadt, Institute of Philosophy
Andreas Kaminski: University of Stuttgart, High Performance Computing Center Stuttgart (HLRS)

A chapter in The Science and Art of Simulation I, 2017, pp 121-136 from Springer

Abstract: Abstract The highly dynamic development of simulation technologies is propelled by the expectation that increasingly high-performing forecasting instruments can and will be employed. In current discussions, reference to “high-performing forecasting instruments” combines two perspectives that stand in an unresolved relationship to one another, which is philosophically revealing: forecasts as true, as in adequate, representations versus performance measured by the success of the technical practice. While the first perspective presupposes a theory of truth based on realism (adequate representations), the second orients itself towards pragmatic representations of truth. Once this is made explicit, a shortcoming in the existing philosophy of simulation becomes evident. An intense debate on the verification and validation of simulations has failed to address the theory of truth. This article undertakes a discussion on a theory of truth suitable for computer simulation that is not only based on a theoretical interest, but also on a practical one.

Keywords: Simulation Step; Iteration Loop; Simulation Research; Pragmatic Theory; Verification Problem (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-55762-5_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319557625

DOI: 10.1007/978-3-319-55762-5_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().